Triple
T13381138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northampton Town Football Club |
E319319
|
entity |
| Predicate | traditionalIndustryAssociation |
P51954
|
FINISHED |
| Object | boot and shoe industry |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: boot and shoe industry | Statement: [Northampton Town Football Club, traditionalIndustryAssociation, boot and shoe industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalIndustryAssociation Context triple: [Northampton Town Football Club, traditionalIndustryAssociation, boot and shoe industry]
-
A.
cityIndustryAssociation
Indicates an associative relationship between a city and an industry, such as the industry being present, active, or economically significant in that city.
-
B.
industryConsortium
Indicates a collaborative association where multiple organizations formally join together within an industry to pursue shared goals, standards, or initiatives.
-
C.
hasFoundingIndustryAssociation
Indicates that an entity is associated with an industry organization that played a role in its founding or establishment.
-
D.
industryConnection
chosen
Indicates a professional or business relationship linking entities within the same or related industries, such as partnerships, collaborations, or shared sector involvement.
-
E.
institutionCategory
Indicates the classification or type of institution to which an entity belongs (e.g., university, hospital, bank).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.